26 citations · 72 across the 16 of their papers we have counts for
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stat.ME2019★ 5 cited
A Graph-Theoretic Approach to Randomization Tests of Causal Effects Under General Interference
David Puelz, Guillaume Basse, Avi Feller +1
Interference exists when a unit's outcome depends on another unit's treatment assignment. For example, intensive policing on one street could have a spillover effect on neighboring…
stat.ME2019★ 1 cited
Minimax designs for causal effects in temporal experiments with treatment habituation
Guillaume Basse, Yi Ding, Panos Toulis
Randomized experiments are the gold standard for estimating the causal effects of an intervention. In the simplest setting, each experimental unit is randomly assigned to receive t…
stat.ME2019★ 2 cited
Randomization tests for peer effects in group formation experiments
Guillaume Basse, Peng Ding, Avi Feller +1
Measuring the effect of peers on individuals' outcomes is a challenging problem, in part because individuals often select peers who are similar in both observable and unobservable…